Describes 2 contrasting models for response latency in the yes-no signal detection situation and outlines their main characteristics. The 1st model is a generalization of the notion that latency in detection is some inverse function of distance from the criterion; the 2nd proposes that instead of a single observation on any 1 trial the S makes multiple observations and a count of these observations determines the response and its latency. Although the predictions of the models are similar in many respects, there are some points concerning the ordering of mean latencies, reaction time receiver operating characteristic curves, latency-probability relations, and the constancy of d' which differentiate them. Particularly important, the multiple...
This psychophysical theory involves the following fundamental assumptions. At a hypothetical neural ...
The effects of variations in signal probability and varying degrees of correct feedback on response ...
<p>The responses of four different ideal observers (<i>columns </i><b>a–d</b>) to a discrete set of ...
A model for two-choice discrimination based on a process of simple counting is described, and two ex...
Two detection cum latency models are constructed by combining sets of plausible assumptions about la...
A model for response latency in recognition memory is described which is a strength model incorporat...
Two models are described for the case of auditory detection with response time deadlines. These are ...
Two neural models for response latency in auditory signal detection are considered: the Timing model...
Ph.D.ExperimentsPsychologyUniversity of Michigan, Horace H. Rackham School of Graduate Studieshttp:/...
When a person or an algorithm searches for targets throughout an image, there are no discrete trials...
Research on group differences in response latency often has as its goal the detection of Group X Tre...
<p>Generalized additive model for the response latencies in experiment 1, using discrimination-based...
This entry introduces response latency as a communication science research method. Using response la...
Additional theoretical and experimental results are presented for a choice reaction time performance...
Response latencies provide information about consumers' choice behavior in a conjoint choice experim...
This psychophysical theory involves the following fundamental assumptions. At a hypothetical neural ...
The effects of variations in signal probability and varying degrees of correct feedback on response ...
<p>The responses of four different ideal observers (<i>columns </i><b>a–d</b>) to a discrete set of ...
A model for two-choice discrimination based on a process of simple counting is described, and two ex...
Two detection cum latency models are constructed by combining sets of plausible assumptions about la...
A model for response latency in recognition memory is described which is a strength model incorporat...
Two models are described for the case of auditory detection with response time deadlines. These are ...
Two neural models for response latency in auditory signal detection are considered: the Timing model...
Ph.D.ExperimentsPsychologyUniversity of Michigan, Horace H. Rackham School of Graduate Studieshttp:/...
When a person or an algorithm searches for targets throughout an image, there are no discrete trials...
Research on group differences in response latency often has as its goal the detection of Group X Tre...
<p>Generalized additive model for the response latencies in experiment 1, using discrimination-based...
This entry introduces response latency as a communication science research method. Using response la...
Additional theoretical and experimental results are presented for a choice reaction time performance...
Response latencies provide information about consumers' choice behavior in a conjoint choice experim...
This psychophysical theory involves the following fundamental assumptions. At a hypothetical neural ...
The effects of variations in signal probability and varying degrees of correct feedback on response ...
<p>The responses of four different ideal observers (<i>columns </i><b>a–d</b>) to a discrete set of ...